Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Our verdict
A usable project with some maintenance caveats. This assessment is derived from GitHub's own repository metrics on 2026-08-30, not from hands-on testing.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）. The project is written primarily in C++, released under Apache-2.0, and has 24,062 stars and 6,022 forks on GitHub. 1,531 contributors have committed to it, and the most recent push was 2026-08-28. The latest tagged release is v3.3.0 (2026-01-31). Figures come from the GitHub API on 2026-08-30 and are refreshed daily; the score below weighs adoption, maintenance, release discipline, contributor breadth, licence clarity and issue hygiene.
Repository
- Licence
- Apache-2.0
- Language
- C++
- Last push
- 2026-08-28
Releases
-
v3.3.0PaddlePaddle 3.3.0 Release Notes -
v3.2.2PaddlePaddle 3.2.2 Release Notes -
v3.2.0PaddlePaddle 3.2.0 Release Note -
v3.1.1PaddlePaddle 3.1.1 Release Note -
v3.1.0PaddlePaddle 3.1.0 Release Note -
v3.0.0PaddlePaddle 3.0.0 Release Note
Pros and cons
Pros
Cons
Pricing
- Free tierYes
- LicenceApache-2.0
- Self-hostYes, source is public
- Public price listNot published
Paddle does not publish a web price list. For consumer apps that usually means pricing appears inside the product; for enterprise tools it means talking to sales. Why we do this
Visit github.comTrends
Price points are recorded when a price moves, not on a schedule, so a flat run means the price held. Release cadence comes from GitHub releases. A series appears only once we have watched it for long enough to have more than one observation.
User reviews
No one has reviewed Paddle here yet. Reviews are moderated before they appear, and our own score is editorial and separate from user ratings, though once reviews land they do lift it.
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Paddle alternatives
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Side by side
| Tool | Our score | From | Free tier | Best for | |
|---|---|---|---|---|---|
| Paddle this page | 6.7 | - | Yes | ||
| PEFT | 7.7 | - | Yes | ||
| PyTorch Image Models (timm) | 7.7 | - | Yes | ||
| fastai | 7.4 | - | Yes | ||
| LlamaFactory | 7.3 | - | Yes | ||
| DeepSpeed | 7 | - | Yes | ||
| Hugging Face Datasets | 7 | - | Yes |
Questions
Is Paddle free?
Yes. Paddle advertises a free tier on its own site.
How much does Paddle cost?
Paddle does not publish a web price list. For consumer apps that usually means pricing appears inside the product; for enterprise tools it means talking to sales.
Is Paddle open source?
Yes. Paddle is a public repository released under Apache-2.0. You can self-host or inspect the source directly.
How is Paddle scored here?
Paddle scores 6.7 out of 10. That comes from a desk review of public evidence, which is capped at 8.5 out of 10: public pricing, documentation, maintenance signals and how much we could actually verify. Affiliate relationships are excluded from scoring entirely. The full rubric is published on our methodology page.